In the context of urbanization and compact urban living, conventional experience-based planning and design often cannot adequately address the serious environmental issues, such as thermal comfort and air quality. The ultimate goal of this book is to facilitate a paradigm shift from the conventional experience-based ways to a more scientific, evidence-based process of decision making in both urban planning and architectural design stage. This book introduces novel yet practical modelling and mapping methods, and provides scientific understandings of the urban typologies and wind environment from the urban to building scale through real examples and case studies. The tools provided in this book aid a systematic implementation of environmental information from urban planning to building design by making wind information more accessible to both urban planners and architects, and significantly increasing the impact of urban climate information on the practical urban planning and design. This book is a useful reference book to architectural postgraduates, design practitioners and planners, urban climate researchers, as well as policy makers for developing future livable and sustainable cities.

Dr. Yuan Chao is an assistant professor in the Department of Architecture of National University of Singapore (NUS). Dr. Yuan's research interests are the climate sensitive urban planning and design for livable and sustainable cities, focusing on urban aerodynamic properties that is difficult but critical part of high-density urban climate. Dr. Yuan has participated in several key policy-level research projects commissioned by Hong Kong Government, as well as actively involved in a few Chinese (e.g., Wuhan and Macau) projects. He developed the Frontal Area Density understanding, which provides an important knowledge linking the built morphology and the city's aerodynamic potentials. This work is now incorporated into Hong Kong and Wu Han's urban climatic research for city planners' references.

Autorentext

Dr. Yuan Chao is an assistant professor in the Department of Architecture of National University of Singapore (NUS). Dr. Yuan's research interests are the climate sensitive urban planning and design for livable and sustainable cities, focusing on urban aerodynamic properties that is difficult but critical part of high-density urban climate. Dr. Yuan has participated in several key policy-level research projects commissioned by Hong Kong Government, as well as actively involved in a few Chinese (e.g., Wuhan and Macau) projects. He developed the Frontal Area Density understanding, which provides an important knowledge linking the built morphology and the city's aerodynamic potentials. This work is now incorporated into Hong Kong and Wu Han's urban climatic research for city planners' references.

Inhalt

CHAPTER 1
INTRODUCTION
1.1 NECESSARY COMPACT URBAN PLANNING
1.2 NEGATIVE EFFECTS OF COMPACT URBAN PLANNING
1.3 CLIMATE SENSITIVE PLANNING AND DESIGN

CHAPTER 2
METHODOLOGY
2.1 METHOD OUTLINE
2.2 TARGET CITIES AND EXISTING PLANNING SYSTEM
2.3 MORPHOLOGICAL METHOD
2.4 COMPUTATIONAL FLUID DYNAMICS (CFD) SIMULATION

CHAPTER 3
WIND ENVIRONMENT IN URBAN PLANNING
3.1 FRONTAL AREA DENSITY
3.2 MODELLING TEST
3.3 A CASE STUDY IN HONG KONG
3.4 A CASE STUDY IN WUHAN
3.5 SUMMARY

CHAPTER 4
WIND ENVIRONMENT IN MASTER PLANNING
4.1 MODELLING DEVELOPMENT
4.2 MODELLING TEST
4.3 A CASE STUDY IN HONG KONG
4.4 SUMMARY

CHAPTER 5
WIND ENVIRONMENT IN ARCHITECTURAL DESIGN
5.1 OPTIONAL TURBULENCE MODEL
5.2 COMPUTATIONAL PARAMETRIC STUDY
5.3 RESULTS AND DISCUSSION
5.4 A CASE STUDY IN HONG KONG
5.5 SUMMARY

CHAPTER 6
AIR QUALITY IN ARCHITECTURAL DESIGN AND URBAN PLANNING
6.1 OPTIONAL TURBULENCE MODELS
6.2 COMPUTATIONAL PARAMETRIC STUDY
6.3 AIR QUALITY IN ARCHITECTURAL DESIGN
6.4 AIR QUALITY IN URBAN PLANNING
6.5 A CASE STUDY IN HONG KONG
6.6 SUMMARY

CHAPTER 7
INTEGRATED IMPLEMENTATION IN PLANNING AND DESIGN
7.1 ENVIRONMENTAL ISSUES IDENTIFICATION
7.2 LAND USE DENSITY GUIDELINES
7.3 BUILDING DESIGN GUIDELINES
7.4 A CASE STUDY IN SINGAPORE
7.5 SUMMARY

BIBLIOGRAPHY